code: def test_forward_pass_two_states(self):
      sequence = np.ones((1, 2, 3))
      layer = layers.RNN(TwoStatesRNNCell(2), return_sequences=False)
      output = layer(sequence)
      self.assertAllClose(np.array([[18.0, 18.0]]), output)
  
      layer = layers.RNN(TwoStatesRNNCell(2), return_sequences=True)
      output = layer(sequence)
      self.assertAllClose(
          np.array([[[6.0, 6.0], [18.0, 18.0]]]), output
      )
  
      layer = layers.RNN(
          TwoStatesRNNCell(2), return_sequences=False, return_state=True
      )
      output, state1, state2 = layer(sequence)
      self.assertAllClose(np.array([[18.0, 18.0]]), output)
      self.assertAllClose(np.array([[9.0, 9.0]]), state1)
      self.assertAllClose(np.array([[9.0, 9.0]]), state2)
  
      layer = layers.RNN(
          TwoStatesRNNCell(2), return_sequences=True, return_state=True
      )
      output, state1, state2 = layer(sequence)
      self.assertAllClose(
          np.array([[[6.0, 6.0], [18.0, 18.0]]]), output
      )
      self.assertAllClose(np.array([[9.0, 9.0]]), state1)
      self.assertAllClose(np.array([[9.0, 9.0]]), state2)
  
imports: import numpy
  import pytest
  from keras import layers
  from keras import ops
  from keras import testing
label_desc: Use image node_id 6 for calling the RNNTest obj's underlying member method code with example usage: obj.test_forward_pass_two_states() without return types